Senior Optimization / Algorithms Engineer v Česko

We are looking for a Senior/Lead Optimization/Algorithms Engineer to design and build the combinatorial optimization core that powers topology-aware TPU scheduling, translating scheduling constraints into solvable mathematical models.

Develop the combinatorial solver core for TPU slice placement Build MIP/CP-SAT models representing multi-host slice constraints Perform latency profiling to ensure sub-second solve times at scale Translate Kubernetes CRD/Pod spec constraints into abstract graph/optimization models Collaborate with AI/ML Performance Engineers to incorporate empirical hardware coefficients into the cost model Strong background in combinatorial optimization, operations research, or algorithms engineering Experience with MIP/CP-SAT solvers (e.g., OR-Tools, Gurobi, CPLEX) Proficiency in Python and/or Golang Understanding of graph theory and constraint satisfaction problems Familiarity with performance profiling and latency-critical systems Prior exposure to Kubernetes scheduling internals Experience with distributed systems optimization